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Updated result.md
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Testing and validation loss accuracy graph added in result.md file
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Mayank202004 authored Oct 1, 2024
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Expand Up @@ -19,7 +19,7 @@ The classification model achieved an impressive accuracy of **98.02%** on the te


### Performance Chart
![Performance Chart](Neural Networks/Plant Disease Detection/assets/images/potato_result_graph.png)
![Performance Chart](assets/images/potato_result_graph.png)


### Conclusion
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